SensiX: A System for Best-Effort Inference of Machine Learning Models in Multi-Device Environments

Chulhong Min, Akhil Mathur, Alessandro Montanari, Fahim Kawsar. SensiX: A System for Best-Effort Inference of Machine Learning Models in Multi-Device Environments. IEEE Trans. Mob. Comput., 22(9):5525-5538, September 2023. [doi]

@article{MinMMK23,
  title = {SensiX: A System for Best-Effort Inference of Machine Learning Models in Multi-Device Environments},
  author = {Chulhong Min and Akhil Mathur and Alessandro Montanari and Fahim Kawsar},
  year = {2023},
  month = {September},
  doi = {10.1109/TMC.2022.3173914},
  url = {https://doi.org/10.1109/TMC.2022.3173914},
  researchr = {https://researchr.org/publication/MinMMK23},
  cites = {0},
  citedby = {0},
  journal = {IEEE Trans. Mob. Comput.},
  volume = {22},
  number = {9},
  pages = {5525-5538},
}